L., commonly known as hairy willowherb, is a perennial herbaceous plant native to Europe and Asia. In Romania, the genus includes 17 species that are used in folk medicine for various purposes. This study aimed to investigate the anti-inflammatory and antitumor potential of the optimized extract of (EH) in animal models. The first study investigated the anti-inflammatory properties of EH optimized extract and the model used was carrageenan-induced paw inflammation. Wistar rats were divided into three groups: negative control, positive control treated with indomethacin, and a group treated with the extract. Oxidative stress markers, cytokine levels, and protein expressions were assessed. The extract demonstrated anti-inflammatory properties comparable to those of the control group. In the second study, the antitumor effects of the extract were assessed using the tumor model of Ehrlich ascites carcinoma. Swiss albino mice with Ehrlich ascites were divided into four groups: negative, positive treated with cyclophosphamide (Cph), Group 3 treated with Cph and EH optimized extract, and Group 4 treated with extract alone. Samples from the ascites fluid, liver, and heart were analyzed to evaluate oxidative stress, inflammation, and cancer markers. The extract showed a reduction in tumor-associated inflammation and oxidative stress. Overall, the EH optimized extract exhibited promising anti-inflammatory and antitumor effects in the animal models studied. These findings suggest its potential as a natural adjuvant therapeutic agent for addressing inflammation and oxidative stress induced by different pathologies.
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http://dx.doi.org/10.3390/plants13020198 | DOI Listing |
Braz J Biol
January 2025
Universitas Airlangga, Faculty of Science and Technology, Department of Biology, Mulyorejo, Surabaya, Indonesia.
Inflammation-proliferation transition plays a key role in the successful healing of a common burn type, second-degree burn. Gynura procumbens in vitro adventitious root nanohydrogel is currently being studied for its immunomodulatory to improve reparative environment. Root production and nanohydrogel preparation was done respectively by in vitro propagation and emulsion/ solvent diffusion with carbomer as a polymer.
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January 2025
Universidade Tecnológica Federal do Paraná - UTFPR, Departmeno de Química e Ciências Biológicas, Francisco Beltrão, PR, Brasil.
Studies show that propolis has antimicrobial, antifungal, antiviral, anti-inflammatory, antioxidant, antitumor, and immunomodulatory properties, and may protect against diseases such as diabetes, cardiovascular disease, and cancer. We aimed to extract compounds of brown propolis with hydroalcoholic solvents and evaluate their cytotoxic activity on tumor and non-tumor cells by MTT test. We tested the solute:solvent ratio (ethanol:water) and extraction time in a Shaker incubator (710 rpm) before conducting a central composite rotational design (CCRD) to optimize time and solvent mixture.
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November 2024
Department of Orthopaedic Surgery, Harvard Medical School, Boston Shoulder Institute, Massachusetts General Hospital, Boston, Massachusetts.
Background: Rotator cuff repair (RCR) is a frequently performed outpatient orthopaedic surgery, with substantial financial implications for health-care systems. Time-driven activity-based costing (TDABC) is a method for nuanced cost analysis and is a valuable tool for strategic health-care decision-making. The aim of this study was to apply the TDABC methodology to RCR procedures to identify specific avenues to optimize cost-efficiency within the health-care system in 2 critical areas: (1) the reduction of variability in the episode duration, and (2) the standardization of suture anchor acquisition costs.
View Article and Find Full Text PDFPLoS One
January 2025
School of Electronic Information Engineering, Inner Mongolia University, Hohhot, Inner Mongolia, China.
Cognitive Radio (CR) technology enables wireless devices to learn about their surrounding spectrum environment through sensing capabilities, thereby facilitating efficient spectrum utilization without interfering with the normal operation of licensed users. This study aims to enhance spectrum sensing in multi-user cooperative cognitive radio systems by leveraging a hybrid model that combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. A novel multi-user cooperative spectrum sensing model is developed, utilizing CNN's local feature extraction capability and LSTM's advantage in handling sequential data to optimize sensing accuracy and efficiency.
View Article and Find Full Text PDFNetwork
January 2025
Computer Science and Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India.
Skin cancer is one of the most prevalent and harmful forms of cancer, with early detection being crucial for successful treatment outcomes. However, current skin cancer detection methods often suffer from limitations such as reliance on manual inspection by clinicians, inconsistency in diagnostic accuracy, and a lack of personalized recommendations based on patient-specific data. In our work, we presented a Personalized Recommendation System to handle Skin Cancer at an early stage based on Hybrid Model (PRSSCHM).
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